Recently, we have been witnessing a rapid increase in the use of machine learning
techniques in self-adaptive systems. Machine learning has been used for a variety of …

Most modern software systems (operating systems like Linux or Android, Web browsers like
Firefox or Chrome, video encoders like ffmpeg, x264 or VLC, mobile and cloud applications …

High throughput experimentation in heterogeneous catalysis provides an efficient solution to
the generation of large datasets under reproducible conditions. Knowledge extraction from …

Performance-influence models can help stakeholders understand how and where
configuration options and their interactions influence the performance of a system. With this …

Modern computer systems are highly configurable, with the total variability space sometimes
larger than the number of atoms in the universe. Understanding and reasoning about the …

Numerous software systems are highly configurable and provide a myriad of configuration
options that users can tune to fit their functional and performance requirements (eg …

Modern cyber-physical systems (eg, robotics systems) are typically composed of physical
and software components, the characteristics of which are likely to change over time …

The behavior of large systems is guided by their configurations: users set parameters in the
configuration file to dictate which corresponding part of the system code is executed …

Many techniques were proposed for detecting software misconfigurations in cloud systems
and for diagnosing unintended behavior caused by such misconfigurations. Detection and …

With large scale and complex configurable systems, it is hard for users to choose the right
combination of options (ie, configurations) in order to obtain the wanted trade-off between …